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A Generic Sample Splitting Approach for Refined Community Recovery in
  Stochastic Block Models

A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models

6 November 2014
Jing Lei
Lingxue Zhu
ArXiv (abs)PDFHTML

Papers citing "A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models"

7 / 7 papers shown
Title
On consistency of constrained spectral clustering under
  representation-aware stochastic block model
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
87
1
0
03 Mar 2022
Consistency of Constrained Spectral Clustering under Graph Induced Fair
  Planted Partitions
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Shubham Gupta
Ambedkar Dukkipati
66
9
0
08 May 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
171
173
0
15 Dec 2020
Consistent nonparametric estimation for heavy-tailed sparse graphs
Consistent nonparametric estimation for heavy-tailed sparse graphs
C. Borgs
J. Chayes
Henry Cohn
S. Ganguly
136
25
0
26 Aug 2015
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
382
235
0
14 May 2015
Consistency of Spectral Hypergraph Partitioning under Planted Partition
  Model
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model
Debarghya Ghoshdastidar
Ambedkar Dukkipati
98
93
0
07 May 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
151
185
0
16 Dec 2014
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